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26
book article
Modelling of magnetization processes of 3D-Printed Fe-Si components by means of an artificial neural network implemented in a FEM scheme
Stella, Marco
;
Faba, Antonio
;
Bertolini, Vittorio
;
Fulginei, F. Riganti
;
Sabino, Lorenzo
;
Tiismus, Hans
;
Kallaste, Ants
;
Cardelli, Ermanno
2024 International Conference on Electrical Machines (ICEM)
2024
/
7 p
https://doi.org/10.1109/ICEM60801.2024.10700301
Article at Scopus
Article at WOS
book article
27
book article
Neural networks based system for the supervision of therapeutic exercises
Nõmm, Sven
;
Kuusik, Alar
;
Ovsjanski, Sergei
;
Malmberg, Ines
;
Parve, Marko
;
Orunurm, Lii
Neural information processing : 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012 : proceedings. Part IV
2012
/
p. 364-371 : ill
https://link.springer.com/chapter/10.1007/978-3-642-34478-7_45
book article
28
book article EST
/
book article ENG
A neuro-fuzzy approach for broken rotor bar fault prediction in induction motors via current spectrum analysis
Raja, Hadi Ashraf
;
Vaimann, Toomas
;
Asad, Bilal
;
Kallaste, Ants
;
Sardar, Muhammad Usman
2025 IEEE Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED) : proceedings
2025
/
7 p
https://doi.org/10.1109/SDEMPED53223.2025.11154194
Article at Scopus
Article at WOS
book article EST
/
book article ENG
29
book article
NN-ANARX model based control of liquid level using visual feedback
Vassiljeva, Kristina
;
Tepljakov, Aleksei
;
Petlenkov, Eduard
2015 IEEE International Conference on Industrial Informatics (INDIN) : proceedings : Robinson College, Cambridge, United Kingdom, 22-24 July, 2015
2015
/
p. 133-138 : ill
http://dx.doi.org/10.1109/INDIN.2015.7281723
book article
30
journal article EST
/
journal article ENG
NN-SANARX model based control of a multi tank liquid-level system
Belikov, Juri
;
Petlenkov, Eduard
International journal of computational intelligence systems
2015
/
p. 265-277
https://doi.org/10.1080/18756891.2015.1001950
Journal metrics at Scopus
Article at Scopus
Journal metrtics at WOS
Article at WOS
journal article EST
/
journal article ENG
31
journal article
A Novel driver performance model based on machine learning
Aksjonov, Andrei
;
Nedoma, Pavel
;
Vodovozov, Valery
;
Petlenkov, Eduard
;
Herrmann, Martin
IFAC-PapersOnLine
2018
/
p. 267-272 : ill
http://dx.doi.org/10.1016/j.ifacol.2018.07.044
journal article
32
journal article EST
/
journal article ENG
The proposal of countermeasures for deepfake voices on social media considering waveform and text embedding
Yanagi, Yuta
;
Orihara, Ryohei
;
Tahara, Yasuyuki
;
Sei, Yuichi
;
Alumäe, Tanel
;
Ohsuga, Akihiko
Annals of emerging technologies in computing
2024
/
p. 15-31 ill
https://doi.org/10.33166/AETiC.2024.02.002
Journal metrics at Scopus
Article at Scopus
journal article EST
/
journal article ENG
33
book article
Prototyping of a machine learning based auxiliary neurostimulation system
Grigorjev, Nikolai
;
Le Moullec, Yannick
;
Kuusik, Alar
2022 18th Biennial Baltic Electronics Conference (BEC)
2022
/
6 l.
https://doi.org/10.1109/BEC56180.2022.9935607
book article
34
book article
Residential load forecasting using recurrent neural networks
Shabbir, Noman
;
Ahmadiahangar, Roya
;
Raja, Hadi Ashraf
;
Kütt, Lauri
;
Rosin, Argo
2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) : proceedings
2020
/
p. 478-481 : ill
https://doi.org/10.1109/CPE-POWERENG48600.2020.9161565
book article
35
book article
Simulation of three-rate neural network control for stochastic model of a fighter aircraft
Astrov, Igor
CCECE 2003 - Canadian Conference on Electrical and Computer Engineering : Toward a Caring and Humane Technology : May 4th to 7th 2003, Montreal, Canada : proceedings. Vol. 3
2003
/
p. 1711-1714 : ill
book article
36
book article
Simulation of two-rate adaptive hybrid control with neural and neuro-fuzzy networks for stochastic model of missile autopilot
Astrov, Igor
;
Pedai, Andrus
;
Rüstern, Ennu
WCICA 2004 : Fifth World Congress on Intelligent Control and Automation : June 15-19, 2004, Hangzhou, China : conference proceedings. Vol. 3
2004
/
p. 2603-2607 : ill
book article
37
book article
Simulation of two-rate adaptive neural network and fuzzy logic hybrid control for stochastic model of an experimental aircraft
Astrov, Igor
;
Pedai, Andrus
;
Rüstern, Ennu
Canadian Conference on Electrical and Computer Engineering 2004 = Conference canadienne en genie electrique et informatique : May 2-5, 2004, Fallsview Sheraton, Niagara Falls, Canada : proceedings. Vol. 1
2004
/
p. 125-128 : ill
book article
38
book article EST
/
book article ENG
Simultaneous road edge and road surface markings detection using convolutional neural networks
Pihlak, Rene
;
Riid, Andri
Databases and Information Systems : 14th International Baltic Conference, DB&IS 2020, Tallinn, Estonia, June 16-19, 2020 : Proceedings
2020
/
p. 109-121
https://doi.org/10.1007/978-3-030-57672-1_9
Conference proceeding at Scopus
Article at Scopus
book article EST
/
book article ENG
39
book article EST
/
book article ENG
Speech-based identification of children’s gender and age with neural networks
Piel, Leo Kristopher
;
Alumäe, Tanel
Human Language Technologies - the Baltic Perspective : Proceedings of the Eighth International Conference, Baltic HLT 2018
2018
/
p. 104-111
https://doi.org/10.3233/978-1-61499-912-6-104
Conference proceedings at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
40
book article EST
/
book article ENG
Zero-memory-overhead clipping-based fault tolerance for LSTM deep neural networks
Parchekani, Bahram
;
Nazari, Samira
;
Ahmadilivani, Mohammad Hasan
;
Azarpeyvand, Ali
;
Raik, Jaan
;
Ghasempouri, Tara
;
Daneshtalab, Masoud
37th IEEE International Symposium on Defect and Fault Tolerancein VLSI and Nanotechnology Systems, Harwell, Oxfordshire, Didcot, UK, October 8th - 10th, 2024
2024
/
4 p. : ill
https://doi.org/10.1109/DFT63277.2024.10753533
Conference proceedings at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
Related publications
1
Assessment and Enhancement of Hardware Reliability for Deep Neural Networks = Riistvara töökindluse hindamine ja täiustamine süvanärvivõrkude jaoks
41
journal article EST
/
journal article ENG
Trends and challenges in intelligent condition monitoring of electrical machines using machine learning
Kudelina, Karolina
;
Vaimann, Toomas
;
Asad, Bilal
;
Rassõlkin, Anton
;
Kallaste, Ants
;
Demidova, Galina
Applied sciences
2021
/
art. 2761, 19 p. : ill
https://doi.org/10.3390/app11062761
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Related publications
1
Artificial intelligence driven approaches for fault prognostics of electrical machines using vibration spectrum analysis = Tehisintellektil põhinevad lähenemisviisid elektrimasinate rikete prognoosimiseks vibratsioonispektri analüüsi abil
42
book article
Triple fixed-point MAC unit for deep learning
Kerner, Madis
;
Tammemäe, Kalle
;
Raik, Jaan
;
Hollstein, Thomas
Proceedings of the 2021 Design, Automation & Test in Europe (DATE 2021), 1-5 February 2021 : Virtual Conference
2021
/
p. 1404-1407
https://doi.org/10.23919/DATE51398.2021.9474020
book article
Related publications
1
Novel Neural Network accelerator architectures for FPGAs = Uudsed närvivõrkude kiirendite arhitektuurid FPGAdele
43
book article
Wind energy forecasting using recurrent neural networks
Shabbir, Noman
;
Kütt, Lauri
;
Jawad, Muhammad
;
Ahmadiahangar, Roya
;
Iqbal, Muhammad Naveed
;
Rosin, Argo
2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE)
2019
/
5 p. : ill
https://doi.org/10.1109/BdKCSE48644.2019.9010593
book article
44
journal article EST
/
journal article ENG
Virtual inertia control of isolated microgrids using an NN-based VFOPID controller
Škiparev, Vjatšeslav
;
Nosrati, Komeil
;
Tepljakov, Aleksei
;
Petlenkov, Eduard
;
Levron, Yoash
;
Belikov, Juri
;
Guerrero, Joseph M.
IEEE Transactions on sustainable energy
2023
/
p. 1558-1568
https://doi.org/10.1109/TSTE.2023.3237922
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Related publications
1
Virtual inertia control of microgrids using deep reinforcement learning methods = Mikrovõrkude virtuaalse inertsi juhtimine sügava stiimulõppe meetoditega
Number of records 44, displaying
26 - 44
previous
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keyword
174
1.
artificial neural networks
2.
artificial neural networks (ANN)
3.
Biological neural networks
4.
Complex-valued neural networks
5.
constrained artificial neural networks
6.
Constrained neural networks
7.
convolutional neural networks
8.
convolutional neural networks (CNNa)
9.
Convolutional Neural Networks (CNNs)
10.
deep neural networks
11.
deep neural networks (DNNs)
12.
Fuzzy neural networks
13.
graph neural networks
14.
multilayer neural networks
15.
neural networks
16.
neural-networks
17.
pre-trained neural networks
18.
recurrent neural networks
19.
recurrent neural networks (RNN)
20.
recurrent neural networks (RNNs)
21.
spiking neural networks
22.
artificial neural network
23.
back propagation neural network
24.
Binarized Neural Network (BNN)
25.
cascaded forward neural network (CFNN)
26.
Convolutional Neural Network
27.
convolutional neural network (CNN)
28.
deep convolutional neural network
29.
deep neural network
30.
deep neural network compression
31.
feedforward neural network (FFNN)
32.
Graph Convolutional Neural Network (GCN)
33.
GraphSAGE (Graph Based Neural Network)
34.
human neural progenitor cells
35.
linear Delta robots neural network based model
36.
LSTM neural network
37.
neural activity
38.
neural additive model
39.
neural architecture search
40.
neural controller
41.
neural development
42.
neural fuzzy modelling control
43.
neural machine translation
44.
neural net
45.
neural net architecture
46.
neural network
47.
neural network architecture search
48.
neural network controller
49.
neural network modelling
50.
neural network models
51.
neural network positioning algorithms
52.
neural network predictive controller
53.
neural oscillations
54.
neural processing unit
55.
neural stimulation
56.
Radial Basis Function Neural Network (RBFNN)
57.
Recurrent Neural Network
58.
recurrent neural network language model
59.
Residual Neural Network
60.
spiking neural network (SNN)
61.
Ternary Neural Network
62.
transformer-based neural network
63.
adaptive networks
64.
ad-hoc sensor networks security
65.
automotive communication networks
66.
Bayesian Belief Networks
67.
Bayesian networks
68.
binary search networks
69.
binary sensor networks
70.
body area networks
71.
body sensor networks
72.
cellular networks
73.
chemical reaction networks
74.
communication networks
75.
communications engineering, networks
76.
complex networks
77.
computer networks
78.
content distribution networks
79.
content-addressable storage networks
80.
convolutional networks
81.
cross-border communication networks
82.
decentralized content-addressable storage (DCAS) networks
83.
developmental networks
84.
diffusion networks
85.
digital twin networks (DTNs)
86.
distribution networks
87.
district heating networks
88.
Dynamic networks
89.
Dynamics of networks
90.
dynamics over networks
91.
ecological networks
92.
economic networks
93.
electric power transmission networks
94.
electrical distribution networks
95.
electrical networks
96.
embedded networks/NoC
97.
gateways (computer networks)
98.
generative adversarial networks
99.
geodetic networks
100.
global production networks
101.
graph attention networks
102.
graph convolutional networks
103.
heating and cooling networks
104.
heating networks
105.
hypar-formed networks
106.
IaaS cloud networks
107.
Impedance-source networks
108.
innovation networks
109.
IP networks
110.
iterative networks
111.
knowledge networks
112.
location-based social networks
113.
logistics networks
114.
Long Short-Term Memory Networks (LSTMs)
115.
low voltage networks
116.
low-voltage networks
117.
LSTM networks
118.
lumped parameter networks
119.
marketing networks
120.
metabolic networks and pathways
121.
mobile actuator-sensor networks (MAS-Net)
122.
multilayer networks
123.
NB-IoT networks
124.
networks
125.
networks coding
126.
neuro-fuzzy networks and guided missile
127.
non-terrestrial networks
128.
observational networks
129.
on-body networks (BANs)
130.
Online social networks
131.
Optical fiber networks
132.
optical fibre networks
133.
optical networks
134.
optimized routing approach for critical and emergency networks
135.
optimized routing approach for critical and emergency networks simulations
136.
packet switched networks
137.
partner networks
138.
Passive networks
139.
phantom cellular networks
140.
private networks
141.
production networks
142.
protein networks
143.
Public safety networks
144.
public safety networks (PSN)
145.
public safety networks (PSNs)
146.
radio access networks
147.
reconfigurable scan networks
148.
regional innovation networks
149.
scale-free networks
150.
sensor networks
151.
small district heating networks
152.
SME networks
153.
social networks
154.
social networks
155.
software defined networks (SDN)
156.
sorting networks
157.
supply networks
158.
transmission networks
159.
unreliable wireless networks
160.
WBANs (wireless body area networks)
161.
wearable wireless networks
162.
wearable wireless networks (WWNs)
163.
weighted networks
164.
wireless ad hoc sensor networks
165.
Wireless Body Area Networks
166.
wireless body area networks (WBANs)
167.
wireless body-to-body networks (BBN)
168.
wireless networks
169.
wireless sensor networks
170.
wireless sensor networks (WSN)
171.
virtual networks
172.
5G networks
173.
5G networks
174.
5G nomadic networks
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